title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
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The interplay between Steinberg algebras and partial skew rings | We study the interplay between Steinberg algebras and partial skew rings: For
a partial action of a group in a Hausdorff, locally compact, totally
disconnected topological space, we realize the associated partial skew group
ring as a Steinberg algebra (over the transformation groupoid attached to the
partial action).... | 0 | 0 | 1 | 0 | 0 | 0 |
Type-II Dirac Photons | The Dirac equation for relativistic electron waves is the parent model for
Weyl and Majorana fermions as well as topological insulators. Simulation of
Dirac physics in three-dimensional photonic crystals, though fundamentally
important for topological phenomena at optical frequencies, encounters the
challenge of synt... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving Network Robustness against Adversarial Attacks with Compact Convolution | Though Convolutional Neural Networks (CNNs) have surpassed human-level
performance on tasks such as object classification and face verification, they
can easily be fooled by adversarial attacks. These attacks add a small
perturbation to the input image that causes the network to misclassify the
sample. In this paper,... | 1 | 0 | 0 | 1 | 0 | 0 |
From sudden quench to adiabatic dynamics in the attractive Hubbard model | We study the crossover between the sudden quench limit and the adiabatic
dynamics of superconducting states in the attractive Hubbard model. We focus on
the dynamics induced by the change of the attractive interaction during a
finite ramp time which is varied in order to track the evolution of the
dynamical phase dia... | 0 | 1 | 0 | 0 | 0 | 0 |
Strongly exchange-coupled and surface-state-modulated magnetization dynamics in Bi2Se3/YIG heterostructures | We report strong interfacial exchange coupling in Bi2Se3/yttrium iron garnet
(YIG) bilayers manifested as large in-plane interfacial magnetic anisotropy
(IMA) and enhancement of damping probed by ferromagnetic resonance (FMR). The
IMA and spin mixing conductance reached a maximum when Bi2Se3 was around 6
quintuple-la... | 0 | 1 | 0 | 0 | 0 | 0 |
Survivable Probability of SDN-enabled Cloud Networking with Random Physical Link Failure | Software-driven cloud networking is a new paradigm in orchestrating physical
resources (CPU, network bandwidth, energy, storage) allocated to network
functions, services, and applications, which is commonly modeled as a
cross-layer network. This model carries a physical network representing the
physical infrastructur... | 1 | 0 | 0 | 0 | 0 | 0 |
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers | PID control architectures are widely used in industrial applications. Despite
their low number of open parameters, tuning multiple, coupled PID controllers
can become tedious in practice. In this paper, we extend PILCO, a model-based
policy search framework, to automatically tune multivariate PID controllers
purely b... | 1 | 0 | 0 | 1 | 0 | 0 |
Engineering a Simplified 0-Bit Consistent Weighted Sampling | The Min-Hashing approach to sketching has become an important tool in data
analysis, information retrial, and classification. To apply it to real-valued
datasets, the ICWS algorithm has become a seminal approach that is widely used,
and provides state-of-the-art performance for this problem space. However, ICWS
suffe... | 0 | 0 | 0 | 1 | 0 | 0 |
Quantifying macroeconomic expectations in stock markets using Google Trends | Among other macroeconomic indicators, the monthly release of U.S.
unemployment rate figures in the Employment Situation report by the U.S. Bureau
of Labour Statistics gets a lot of media attention and strongly affects the
stock markets. I investigate whether a profitable investment strategy can be
constructed by pred... | 0 | 0 | 0 | 0 | 0 | 1 |
Effects of Incomplete Ionization on Beta - Ga2O3 Power Devices: Unintentional Donor with Energy 110 meV | Understanding the origin of unintentional doping in Ga2O3 is key to
increasing breakdown voltages of Ga2O3 based power devices. Therefore,
transport and capacitance spectroscopy studies have been performed to better
understand the origin of unintentional doping in Ga2O3. Previously unobserved
unintentional donors in ... | 0 | 1 | 0 | 0 | 0 | 0 |
A single coordinate framework for optic flow and binocular disparity | Optic flow is two dimensional, but no special qualities are attached to one
or other of these dimensions. For binocular disparity, on the other hand, the
terms 'horizontal' and 'vertical' disparities are commonly used. This is odd,
since binocular disparity and optic flow describe essentially the same thing.
The diff... | 0 | 0 | 0 | 0 | 1 | 0 |
Gain control with A-type potassium current: IA as a switch between divisive and subtractive inhibition | Neurons process information by transforming barrages of synaptic inputs into
spiking activity. Synaptic inhibition suppresses the output firing activity of
a neuron, and is commonly classified as having a subtractive or divisive effect
on a neuron's output firing activity. Subtractive inhibition can narrow the
range ... | 0 | 0 | 0 | 0 | 1 | 0 |
Cyclic Datatypes modulo Bisimulation based on Second-Order Algebraic Theories | Cyclic data structures, such as cyclic lists, in functional programming are
tricky to handle because of their cyclicity. This paper presents an
investigation of categorical, algebraic, and computational foundations of
cyclic datatypes. Our framework of cyclic datatypes is based on second-order
algebraic theories of F... | 1 | 0 | 0 | 0 | 0 | 0 |
High-order harmonic generation from highly-excited states in acetylene | High-order harmonic generation (HHG) from aligned acetylene molecules
interacting with mid infra-red (IR), linearly polarized laser pulses is studied
theoretically using a mixed quantum-classical approach in which the electrons
are described using time-dependent density functional theory while the ions are
treated cl... | 0 | 1 | 0 | 0 | 0 | 0 |
Cellulyzer - Automated analysis and interactive visualization/simulation of select cellular processes | Here we report on a set of programs developed at the ZMBH Bio-Imaging
Facility for tracking real-life images of cellular processes. These programs
perform 1) automated tracking; 2) quantitative and comparative track analyses
of different images in different groups; 3) different interactive visualization
schemes; and ... | 1 | 1 | 0 | 0 | 0 | 0 |
Vprop: Variational Inference using RMSprop | Many computationally-efficient methods for Bayesian deep learning rely on
continuous optimization algorithms, but the implementation of these methods
requires significant changes to existing code-bases. In this paper, we propose
Vprop, a method for Gaussian variational inference that can be implemented with
two minor... | 1 | 0 | 0 | 1 | 0 | 0 |
Hidden symmetries in $N$-layer dielectric stacks | The optical properties of a multilayer system of dielectric media with
arbitrary $N$ layers is investigated. Each layer is one of two dielectric
media, with thickness one-quarter the wavelength of light in that medium,
corresponding to a central frequency. Using the transfer matrix method, the
transmittance $T$ is ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Solvability regions of affinely parameterized quadratic equations | Quadratic systems of equations appear in several applications. The results in
this paper are motivated by quadratic systems of equations that describe
equilibrium behavior of physical infrastructure networks like the power and gas
grids. The quadratic systems in infrastructure networks are parameterized- the
paramete... | 1 | 0 | 1 | 0 | 0 | 0 |
Mid-price estimation for European corporate bonds: a particle filtering approach | In most illiquid markets, there is no obvious proxy for the market price of
an asset. The European corporate bond market is an archetypal example of such
an illiquid market where mid-prices can only be estimated with a statistical
model. In this OTC market, dealers / market makers only have access, indeed, to
partial... | 0 | 0 | 0 | 0 | 0 | 1 |
Matching RGB Images to CAD Models for Object Pose Estimation | We propose a novel method for 3D object pose estimation in RGB images, which
does not require pose annotations of objects in images in the training stage.
We tackle the pose estimation problem by learning how to establish
correspondences between RGB images and rendered depth images of CAD models.
During training, our... | 1 | 0 | 0 | 0 | 0 | 0 |
A Model for Paired-Multinomial Data and Its Application to Analysis of Data on a Taxonomic Tree | In human microbiome studies, sequencing reads data are often summarized as
counts of bacterial taxa at various taxonomic levels specified by a taxonomic
tree. This paper considers the problem of analyzing two repeated measurements
of microbiome data from the same subjects. Such data are often collected to
assess the ... | 0 | 0 | 0 | 1 | 0 | 0 |
Adhesion-induced Discontinuous Transitions and Classifying Social Networks | Transition points mark qualitative changes in the macroscopic properties of
large complex systems. Explosive transitions, exhibiting properties of both
continuous and discontinuous phase transitions, have recently been uncovered in
network growth processes. Real networks not only grow but often also
restructure, yet ... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical simulation of polynomial-speed convergence phenomenon | We provide a hybrid method that captures the polynomial speed of convergence
and polynomial speed of mixing for Markov processes. The hybrid method that we
introduce is based on the coupling technique and renewal theory. We propose to
replace some estimates in classical results about the ergodicity of Markov
processe... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficient determination of optimised multi-arm multi-stage experimental designs with control of generalised error-rates | Primarily motivated by the drug development process, several publications
have now presented methodology for the design of multi-arm multi-stage
experiments with normally distributed outcome variables of known variance.
Here, we extend these past considerations to allow the design of what we refer
to as an abcd multi... | 0 | 0 | 0 | 1 | 0 | 0 |
Application of the Waveform Relaxation Technique to the Co-Simulation of Power Converter Controller and Electrical Circuit Models | In this paper we present the co-simulation of a PID class power converter
controller and an electrical circuit by means of the waveform relaxation
technique. The simulation of the controller model is characterized by a
fixed-time stepping scheme reflecting its digital implementation, whereas a
circuit simulation usua... | 1 | 1 | 0 | 0 | 0 | 0 |
Some Investigations about the Properties of Maximum Likelihood Estimations Based on Lower Record Values for a Sub-Family of the Exponential Family | Here, in this paper it has been considered a sub family of exponential
family. Maximum likelihood estimations (MLE) for the parameter of this family,
probability density function, and cumulative density function based on a sample
and based on lower record values have been obtained. It has been considered
Mean Square ... | 0 | 0 | 1 | 1 | 0 | 0 |
Some Insights on Synthesizing Optimal Linear Quadratic Controller Using Krotov's Sufficiency Conditions | This paper revisits the problem of optimal control law design for linear
systems using the global optimal control framework introduced by Vadim Krotov.
Krotov's approach is based on the idea of total decomposition of the original
optimal control problem (OCP) with respect to time, by an $ad$ $hoc$ choice of
the so-ca... | 1 | 0 | 0 | 0 | 0 | 0 |
Schumann resonance transients and the search for gravitational waves | Schumann resonance transients which propagate around the globe can
potentially generate a correlated background in widely separated gravitational
wave detectors. We show that due to the distribution of lightning hotspots
around the globe these transients have characteristic time lags, and this
feature can be useful t... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Fly by Crashing | How do you learn to navigate an Unmanned Aerial Vehicle (UAV) and avoid
obstacles? One approach is to use a small dataset collected by human experts:
however, high capacity learning algorithms tend to overfit when trained with
little data. An alternative is to use simulation. But the gap between
simulation and real w... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimating Graphlet Statistics via Lifting | Exploratory analysis over network data is often limited by our ability to
efficiently calculate graph statistics, which can provide a model-free
understanding of macroscopic properties of a network. This work introduces a
framework for estimating the graphlet count - the number of occurrences of a
small subgraph moti... | 0 | 0 | 0 | 1 | 0 | 0 |
Calibration for the (Computationally-Identifiable) Masses | As algorithms increasingly inform and influence decisions made about
individuals, it becomes increasingly important to address concerns that these
algorithms might be discriminatory. The output of an algorithm can be
discriminatory for many reasons, most notably: (1) the data used to train the
algorithm might be bias... | 1 | 0 | 0 | 1 | 0 | 0 |
The distribution of old stars around the Milky Way's central black hole I: Star counts | (abridged) In this paper we revisit the problem of inferring the innermost
structure of the Milky Way's nuclear star cluster via star counts, to clarify
whether it displays a core or a cusp around the central black hole. Through
image stacking and improved PSF fitting we push the completeness limit about
one magnitud... | 0 | 1 | 0 | 0 | 0 | 0 |
On infinite order differential operators in fractional viscoelasticity | In this paper we discuss some general properties of viscoelastic models
defined in terms of constitutive equations involving infinitely many
derivatives (of integer and fractional order). In particular, we consider as a
working example the recently developed Bessel models of linear viscoelasticiy
that, for short time... | 0 | 1 | 1 | 0 | 0 | 0 |
Gap structure of FeSe determined by field-angle-resolved specific heat measurements | Quasiparticle excitations in FeSe were studied by means of specific heat
($C$) measurements on a high-quality single crystal under rotating magnetic
fields. The field dependence of $C$ shows three-stage behavior with different
slopes, indicating the existence of three gaps ($\Delta_1$, $\Delta_2$, and
$\Delta_3$). In... | 0 | 1 | 0 | 0 | 0 | 0 |
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets | This paper presents a model based on Deep Learning algorithms of LSTM and GRU
for facilitating an anomaly detection in Large Hadron Collider superconducting
magnets. We used high resolution data available in Post Mortem database to
train a set of models and chose the best possible set of their
hyper-parameters. Using... | 0 | 1 | 0 | 0 | 0 | 0 |
Electro-Oxidation of Ni42 Steel: A highly Active Bifunctional Electrocatalyst | Janus type Water-Splitting Catalysts have attracted highest attention as a
tool of choice for solar to fuel conversion. AISI Ni 42 steel was upon harsh
anodization converted in a bifunctional electrocatalyst. Oxygen evolution
reaction- (OER) and hydrogen evolution reaction (HER) are highly efficiently
and steadfast c... | 0 | 1 | 0 | 0 | 0 | 0 |
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection | A prevailing challenge in the biomedical and social sciences is to estimate a
population mean from a sample obtained with unknown selection probabilities.
Using a well-known ratio estimator, Aronow and Lee (2013) proposed a method for
partial identification of the mean by allowing the unknown selection
probabilities ... | 0 | 0 | 1 | 1 | 0 | 0 |
Warped metrics for location-scale models | This paper argues that a class of Riemannian metrics, called warped metrics,
plays a fundamental role in statistical problems involving location-scale
models. The paper reports three new results : i) the Rao-Fisher metric of any
location-scale model is a warped metric, provided that this model satisfies a
natural inv... | 0 | 0 | 1 | 1 | 0 | 0 |
Detecting Changes in Time Series Data using Volatility Filters | This work develops techniques for the sequential detection and location
estimation of transient changes in the volatility (standard deviation) of time
series data. In particular, we introduce a class of change detection algorithms
based on the windowed volatility filter. The first method detects changes by
employing ... | 1 | 0 | 0 | 0 | 0 | 0 |
A minimax and asymptotically optimal algorithm for stochastic bandits | We propose the kl-UCB ++ algorithm for regret minimization in stochastic
bandit models with exponential families of distributions. We prove that it is
simultaneously asymptotically optimal (in the sense of Lai and Robbins' lower
bound) and minimax optimal. This is the first algorithm proved to enjoy these
two propert... | 0 | 0 | 1 | 1 | 0 | 0 |
Eigenfunctions of Periodic Differential Operators Analytic in a Strip | Ordinary differential operators with periodic coefficients analytic in a
strip act on a Hardy-Hilbert space of analytic functions with inner product
defined by integration over a period on the boundary of the strip. Simple
examples show that eigenfunctions may form a complete set for a narrow strip,
but completeness ... | 0 | 0 | 1 | 0 | 0 | 0 |
Infinite ergodic index of the ehrenfest wind-tree model | The set of all possible configurations of the Ehrenfest wind-tree model
endowed with the Hausdorff topology is a compact metric space. For a typical
configuration we show that the wind-tree dynamics has infinite ergodic index in
almost every direction. In particular some ergodic theorems can be applied to
show that i... | 0 | 0 | 1 | 0 | 0 | 0 |
Arrays of strongly-coupled atoms in a one-dimensional waveguide | We study the cooperative optical coupling between regularly spaced atoms in a
one-dimensional waveguide using decompositions to subradiant and superradiant
collective excitation eigenmodes, direct numerical solutions, and analytical
transfer-matrix methods. We illustrate how the spectrum of transmitted light
through ... | 0 | 1 | 0 | 0 | 0 | 0 |
MEG-Derived Functional Tractography, Results for Normal and Concussed Cohorts | Measures of neuroelectric activity from each of 18 automatically identified
white matter tracts were extracted from resting MEG recordings from a
normative, n=588, and a chronic TBI, traumatic brain injury, n=63, cohort, 60
of whose TBIs were mild. Activity in the TBI cohort was significantly reduced
compared with th... | 0 | 0 | 0 | 0 | 1 | 0 |
Coincidence of magnetic and valence quantum critical points in CeRhIn5 under pressure | We present accurate electrical resistivity measurements along the two
principle crystallographic axes of the pressure-induced heavy-fermion
superconductor CeRhIn5 up to 5.63 GPa. For both directions, a valence crossover
line is identified in the p-T plane and the extrapolation of this line to zero
temperature coincid... | 0 | 1 | 0 | 0 | 0 | 0 |
Sequential Inverse Approximation of a Regularized Sample Covariance Matrix | One of the goals in scaling sequential machine learning methods pertains to
dealing with high-dimensional data spaces. A key related challenge is that many
methods heavily depend on obtaining the inverse covariance matrix of the data.
It is well known that covariance matrix estimation is problematic when the
number o... | 0 | 0 | 0 | 1 | 0 | 0 |
Sesqui-arrays, a generalisation of triple arrays | A triple array is a rectangular array containing letters, each letter
occurring equally often with no repeats in rows or columns, such that the
number of letters common to two rows, two columns, or a row and a column are
(possibly different) non-zero constants. Deleting the condition on the letters
common to a row an... | 0 | 0 | 1 | 1 | 0 | 0 |
Investigating how well contextual features are captured by bi-directional recurrent neural network models | Learning algorithms for natural language processing (NLP) tasks traditionally
rely on manually defined relevant contextual features. On the other hand,
neural network models using an only distributional representation of words have
been successfully applied for several NLP tasks. Such models learn features
automatica... | 1 | 0 | 0 | 0 | 0 | 0 |
A Hybridizable Discontinuous Galerkin solver for the Grad-Shafranov equation | In axisymmetric fusion reactors, the equilibrium magnetic configuration can
be expressed in terms of the solution to a semi-linear elliptic equation known
as the Grad-Shafranov equation, the solution of which determines the poloidal
component of the magnetic field. When the geometry of the confinement region is
known... | 0 | 1 | 0 | 0 | 0 | 0 |
Sketching Linear Classifiers over Data Streams | We introduce a new sub-linear space sketch---the Weight-Median Sketch---for
learning compressed linear classifiers over data streams while supporting the
efficient recovery of large-magnitude weights in the model. This enables
memory-limited execution of several statistical analyses over streams,
including online fea... | 1 | 0 | 0 | 1 | 0 | 0 |
Tamed to compatible when b^(2+) = 1 and b^1 = 2 | Weiyi Zhang noticed recently a gap in the proof of the main theorem of the
authors article "Tamed to compatible: Symplectic forms via moduli space
integration" [T] for the case when the symplectic 4-manifold in question has
first Betti number 2 (and necessarily self-dual second Betti number 1). This
note explains how... | 0 | 0 | 1 | 0 | 0 | 0 |
The Mass Transference Principle: Ten Years On | In this article we discuss the Mass Transference Principle due to Beresnevich
and Velani and survey several generalisations and variants, both deterministic
and random. Using a Hausdorff measure analogue of the inhomogeneous
Khintchine-Groshev Theorem, proved recently via an extension of the Mass
Transference Princip... | 0 | 0 | 1 | 0 | 0 | 0 |
Ground-state properties of Ca$_2$ from narrow line two-color photoassociation | By two-color photoassociation of $^{40}$Ca four weakly bound vibrational
levels in the Ca$_2$ \Xpot ground state potential were measured, using highly
spin-forbidden transitions to intermediate states of the coupled system
$^3\Pi_{u}$ and $^3\Sigma^+ _{u}$ near the ${^3P_1}$+${^1S_0}$ asymptote. From
the observed bin... | 0 | 1 | 0 | 0 | 0 | 0 |
On the semisimplicity of the cyclotomic quiver Hecke algebra of type C | We provide criteria for the cyclotomic quiver Hecke algebras of type C to be
semisimple. In the semisimple case, we construct the irreducible modules.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the origin of the shallow and "replica" bands in FeSe monolayer superconductors | We compare electronic structures of single FeSe layer films on SrTiO$_3$
substrate (FeSe/STO) and K$_x$Fe$_{2-y}$Se$_{2}$ superconductors obtained from
extensive LDA and LDA+DMFT calculations with the results of ARPES experiments.
It is demonstrated that correlation effects on Fe-3d states are sufficient in
principle... | 0 | 1 | 0 | 0 | 0 | 0 |
A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers | Regularization techniques are widely employed in optimization-based
approaches for solving ill-posed inverse problems in data analysis and
scientific computing. These methods are based on augmenting the objective with
a penalty function, which is specified based on prior domain-specific expertise
to induce a desired ... | 1 | 0 | 1 | 1 | 0 | 0 |
A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network | Network models are applied in numerous domains where data can be represented
as a system of interactions among pairs of actors. While both statistical and
mechanistic network models are increasingly capable of capturing various
dependencies amongst these actors, these dependencies imply the lack of
independence. This... | 0 | 0 | 0 | 1 | 0 | 0 |
Nonlinear Acceleration of Stochastic Algorithms | Extrapolation methods use the last few iterates of an optimization algorithm
to produce a better estimate of the optimum. They were shown to achieve optimal
convergence rates in a deterministic setting using simple gradient iterates.
Here, we study extrapolation methods in a stochastic setting, where the
iterates are... | 0 | 0 | 1 | 0 | 0 | 0 |
Motion of Massive Particles in Rindler Space and the Problem of Fall at the Centre | The motion of a massive particle in Rindler space has been studied and
obtained the geodesics of motion. The orbits in Rindler space are found to be
quite different from that of Schwarzschild case. The paths are not like the
Perihelion Precession type. Further we have set up the non-relativistic
Schrodinger equation ... | 0 | 1 | 0 | 0 | 0 | 0 |
Measuring Sample Quality with Kernels | Approximate Markov chain Monte Carlo (MCMC) offers the promise of more rapid
sampling at the cost of more biased inference. Since standard MCMC diagnostics
fail to detect these biases, researchers have developed computable Stein
discrepancy measures that provably determine the convergence of a sample to its
target di... | 1 | 0 | 0 | 1 | 0 | 0 |
Diversity of preferences can increase collective welfare in sequential exploration problems | In search engines, online marketplaces and other human-computer interfaces
large collectives of individuals sequentially interact with numerous
alternatives of varying quality. In these contexts, trial and error
(exploration) is crucial for uncovering novel high-quality items or solutions,
but entails a high cost for... | 1 | 0 | 0 | 0 | 0 | 0 |
Epidemic spread in interconnected directed networks | In the real world, many complex systems interact with other systems. In
addition, the intra- or inter-systems for the spread of information about
infectious diseases and the transmission of infectious diseases are often not
random, but with direction. Hence, in this paper, we build epidemic model based
on an intercon... | 0 | 1 | 0 | 0 | 0 | 0 |
Controllability and maximum matchings of complex networks | Previously, the controllability problem of a linear time-invariant dynamical
system was mapped to the maximum matching (MM) problem on the bipartite
representation of the underlying directed graph, and the sizes of MMs on random
bipartite graphs were calculated analytically with the cavity method at zero
temperature ... | 1 | 0 | 0 | 0 | 0 | 0 |
Dimers, crystals and quantum Kostka numbers | We relate the counting of honeycomb dimer configurations on the cylinder to
the counting of certain vertices in Kirillov-Reshetikhin crystal graphs. We
show that these dimer configurations yield the quantum Kostka numbers of the
small quantum cohomology ring of the Grassmannian, i.e. the expansion
coefficients when m... | 0 | 0 | 1 | 0 | 0 | 0 |
Generalized Task-Parameterized Skill Learning | Programming by demonstration has recently gained much attention due to its
user-friendly and natural way to transfer human skills to robots. In order to
facilitate the learning of multiple demonstrations and meanwhile generalize to
new situations, a task-parameterized Gaussian mixture model (TP-GMM) has been
recently... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonparametric Bayesian volatility learning under microstructure noise | Aiming at financial applications, we study the problem of learning the
volatility under market microstructure noise. Specifically, we consider noisy
discrete time observations from a stochastic differential equation and develop
a novel computational method to learn the diffusion coefficient of the
equation. We take a... | 0 | 0 | 0 | 0 | 0 | 1 |
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals | Supervised learning based methods for source localization, being data driven,
can be adapted to different acoustic conditions via training and have been
shown to be robust to adverse acoustic environments. In this paper, a
convolutional neural network (CNN) based supervised learning method for
estimating the directio... | 1 | 0 | 0 | 0 | 0 | 0 |
Follow-up of eROSITA and Euclid Galaxy Clusters with XMM-Newton | A revolution in galaxy cluster science is only a few years away. The survey
machines eROSITA and Euclid will provide cluster samples of never-before-seen
statistical quality. XMM-Newton will be the key instrument to exploit these
rich datasets in terms of detailed follow-up of the cluster hot gas content,
systematica... | 0 | 1 | 0 | 0 | 0 | 0 |
Effect of viscosity ratio on the self-sustained instabilities in planar immiscible jets | Previous studies have shown that intermediate surface tension has a
counterintuitive destabilizing effect on 2-phase planar jets. Here, the
transition process in confined 2D jets of two fluids with varying viscosity
ratio is investigated using DNS. Neutral curves for persistent oscillations are
found by recording the... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks | Generative adversarial networks (GANs) are highly effective unsupervised
learning frameworks that can generate very sharp data, even for data such as
images with complex, highly multimodal distributions. However GANs are known to
be very hard to train, suffering from problems such as mode collapse and
disturbing visu... | 1 | 0 | 0 | 1 | 0 | 0 |
A noise-immune cavity-assisted non-destructive detection for an optical lattice clock in the quantum regime | We present and implement a non-destructive detection scheme for the
transition probability readout of an optical lattice clock. The scheme relies
on a differential heterodyne measurement of the dispersive properties of
lattice-trapped atoms enhanced by a high finesse cavity. By design, this scheme
offers a 1st order ... | 0 | 1 | 0 | 0 | 0 | 0 |
Remarks on planar edge-chromatic critical graphs | The only open case of Vizing's conjecture that every planar graph with
$\Delta\geq 6$ is a class 1 graph is $\Delta = 6$. We give a short proof of the
following statement: there is no 6-critical plane graph $G$, such that every
vertex of $G$ is incident to at most three 3-faces. A stronger statement
without restricti... | 0 | 0 | 1 | 0 | 0 | 0 |
The LOFAR window on star-forming galaxies and AGN - curved radio SEDs and IR-radio correlation at $0 < z < 2.5$ | We present a study of the low-frequency radio properties of star forming (SF)
galaxies and active galactic nuclei (AGN) up to redshift $z=2.5$. The new
spectral window probed by the Low Frequency Array (LOFAR) allows us to
reconstruct the radio continuum emission from 150 MHz to 1.4 GHz to an
unprecedented depth for ... | 0 | 1 | 0 | 0 | 0 | 0 |
Interplay between the Inverse Scattering Method and Fokas's Unified Transform with an Application | It is known that the initial-boundary value problem for certain integrable
partial differential equations (PDEs) on the half-line with integrable boundary
conditions can be mapped to a special case of the Inverse Scattering Method
(ISM) on the full-line. This can also be established within the so-called
Unified Trans... | 0 | 1 | 1 | 0 | 0 | 0 |
GNC of the SphereX Robot for Extreme Environment Exploration on Mars | Wheeled ground robots are limited from exploring extreme environments such as
caves, lava tubes and skylights. Small robots that can utilize unconventional
mobility through hopping, flying or rolling can overcome these limitations.
Mul-tiple robots operating as a team offer significant benefits over a single
large ro... | 1 | 1 | 0 | 0 | 0 | 0 |
Stable Signatures for Dynamic Graphs and Dynamic Metric Spaces via Zigzag Persistence | When studying flocking/swarming behaviors in animals one is interested in
quantifying and comparing the dynamics of the clustering induced by the
coalescence and disbanding of animals in different groups. In a similar vein,
studying the dynamics of social networks leads to the problem of characterizing
groups/communi... | 0 | 0 | 1 | 0 | 0 | 0 |
A Data-driven Approach Towards Human-robot Collaborative Problem Solving in a Shared Space | We are developing a system for human-robot communication that enables people
to communicate with robots in a natural way and is focused on solving problems
in a shared space. Our strategy for developing this system is fundamentally
data-driven: we use data from multiple input sources and train key components
with var... | 1 | 0 | 0 | 0 | 0 | 0 |
Discursive Landscapes and Unsupervised Topic Modeling in IR: A Validation of Text-As-Data Approaches through a New Corpus of UN Security Council Speeches on Afghanistan | The recent turn towards quantitative text-as-data approaches in IR brought
new ways to study the discursive landscape of world politics. Here seen as
complementary to qualitative approaches, quantitative assessments have the
advantage of being able to order and make comprehensible vast amounts of text.
However, the v... | 1 | 0 | 0 | 0 | 0 | 0 |
Lattice Gas with Molecular Dynamics Collision Operator | We introduce a lattice gas implementation that is based on coarse-graining a
Molecular Dynamics (MD) simulation. Such a lattice gas is similar to standard
lattice gases, but its collision operator is informed by an underlying MD
simulation. This can be considered an optimal lattice gas implementation
because it allow... | 0 | 1 | 0 | 0 | 0 | 0 |
From dynamical systems with time-varying delay to circle maps and Koopmanism | In the present paper we investigate the influence of the retarded access by a
time-varying delay on the dynamics of delay systems. We show that there are two
universality classes of delays, which lead to fundamental differences in
dynamical quantities such as the Lyapunov spectrum. Therefore we introduce an
operator ... | 0 | 1 | 1 | 0 | 0 | 0 |
Engineering Frequency-dependent Superfluidity in Bose-Fermi Mixtures | Unconventional superconductivity or superfluidity are among the most exciting
and fascinating quantum states in condensed matter physics. Usually these
states are characterized by non-trivial spatial symmetry of the pairing order
parameter, such as in $^{3}He$ and high-$T_{c}$ cuprates. Besides spatial
dependence the... | 0 | 1 | 0 | 0 | 0 | 0 |
In-Silico Proportional-Integral Moment Control of Stochastic Reaction Networks with Applications to Gene Expression (with Dimerization) | The problem of controlling the mean and the variance of a species of interest
in a simple gene expression is addressed. It is shown that the protein mean
level can be globally and robustly tracked to any desired value using a simple
PI controller that satisfies certain sufficient conditions. Controlling both
the mean... | 1 | 0 | 0 | 0 | 1 | 0 |
Big enterprise registration data imputation: Supporting spatiotemporal analysis of industries in China | Big, fine-grained enterprise registration data that includes time and
location information enables us to quantitatively analyze, visualize, and
understand the patterns of industries at multiple scales across time and space.
However, data quality issues like incompleteness and ambiguity, hinder such
analysis and appli... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast Simulation of Vehicles with Non-deformable Tracks | This paper presents a novel technique that allows for both computationally
fast and sufficiently plausible simulation of vehicles with non-deformable
tracks. The method is based on an effect we have called Contact Surface Motion.
A comparison with several other methods for simulation of tracked vehicle
dynamics is pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory | Recurrent neural networks (RNNs) have been drawing much attention with great
success in many applications like speech recognition and neural machine
translation. Long short-term memory (LSTM) is one of the most popular RNN units
in deep learning applications. LSTM transforms the input and the previous
hidden states t... | 0 | 0 | 0 | 1 | 0 | 0 |
Satellite Image-based Localization via Learned Embeddings | We propose a vision-based method that localizes a ground vehicle using
publicly available satellite imagery as the only prior knowledge of the
environment. Our approach takes as input a sequence of ground-level images
acquired by the vehicle as it navigates, and outputs an estimate of the
vehicle's pose relative to a... | 1 | 0 | 0 | 0 | 0 | 0 |
Optimality of codes with respect to error probability in Gaussian noise | We consider geometrical optimization problems related to optimizing the error
probability in the presence of a Gaussian noise. One famous questions in the
field is the "weak simplex conjecture". We discuss possible approaches to it,
and state related conjectures about the Gaussian measure, in particular, the
conjectu... | 1 | 0 | 1 | 0 | 0 | 0 |
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs | Time delay neural networks (TDNNs) are an effective acoustic model for large
vocabulary speech recognition. The strength of the model can be attributed to
its ability to effectively model long temporal contexts. However, current TDNN
models are relatively shallow, which limits the modelling capability. This
paper pro... | 0 | 0 | 0 | 1 | 0 | 0 |
A Structured Self-attentive Sentence Embedding | This paper proposes a new model for extracting an interpretable sentence
embedding by introducing self-attention. Instead of using a vector, we use a
2-D matrix to represent the embedding, with each row of the matrix attending on
a different part of the sentence. We also propose a self-attention mechanism
and a speci... | 1 | 0 | 0 | 0 | 0 | 0 |
When Neurons Fail | We view a neural network as a distributed system of which neurons can fail
independently, and we evaluate its robustness in the absence of any (recovery)
learning phase. We give tight bounds on the number of neurons that can fail
without harming the result of a computation. To determine our bounds, we
leverage the fa... | 0 | 0 | 0 | 1 | 0 | 0 |
Heavy Traffic Limit for a Tandem Queue with Identical Service Times | We consider a two-node tandem queueing network in which the upstream queue is
M/G/1 and each job reuses its upstream service requirement when moving to the
downstream queue. Both servers employ the first-in-first-out policy. We
investigate the amount of work in the second queue at certain embedded arrival
time points... | 0 | 0 | 1 | 0 | 0 | 0 |
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems | In this letter, we present a new robotic harvester (Harvey) that can
autonomously harvest sweet pepper in protected cropping environments. Our
approach combines effective vision algorithms with a novel end-effector design
to enable successful harvesting of sweet peppers. Initial field trials in
protected cropping env... | 1 | 0 | 0 | 0 | 0 | 0 |
AMI SZ observation of galaxy-cluster merger CIZA J2242+5301: perpendicular flows of gas and dark matter | AMI observations towards CIZA J2242+5301, in comparison with observations of
weak gravitational lensing and X-ray emission from the literature, are used to
investigate the behaviour of non-baryonic dark matter (NBDM) and gas during the
merger. Analysis of the Sunyaev-Zel'dovich (SZ) signal indicates the presence
of h... | 0 | 1 | 0 | 0 | 0 | 0 |
Development of a computer-aided design software for dental splint in orthognathic surgery | In the orthognathic surgery, dental splints are important and necessary to
help the surgeon reposition the maxilla or mandible. However, the traditional
methods of manual design of dental splints are difficult and time-consuming.
The research on computer-aided design software for dental splints is rarely
reported. Ou... | 1 | 1 | 0 | 0 | 0 | 0 |
Energy-transport systems for optical lattices: derivation, analysis, simulation | Energy-transport equations for the transport of fermions in optical lattices
are formally derived from a Boltzmann transport equation with a periodic
lattice potential in the diffusive limit. The limit model possesses a formal
gradient-flow structure like in the case of the energy-transport equations for
semiconducto... | 0 | 0 | 1 | 0 | 0 | 0 |
First principles study of structural, magnetic and electronic properties of CrAs | We report ab initio density functional calculations of the structural and
magnetic properties, and the electronic structure of CrAs. To simulate the
observed pressure-driven experimental results, we perform our analysis for
different volumes of the unit cell, showing that the structural, magnetic and
electronic prope... | 0 | 1 | 0 | 0 | 0 | 0 |
Subspace Robust Wasserstein distances | Making sense of Wasserstein distances between discrete measures in
high-dimensional settings remains a challenge. Recent work has advocated a
two-step approach to improve robustness and facilitate the computation of
optimal transport, using for instance projections on random real lines, or a
preliminary quantization ... | 1 | 0 | 0 | 1 | 0 | 0 |
Wind accretion onto compact objects | X-ray emission associated to accretion onto compact objects displays
important levels of photometric and spectroscopic time-variability. When the
accretor orbits a Supergiant star, it captures a fraction of the supersonic
radiatively-driven wind which forms shocks in its vicinity. The amplitude and
stability of this ... | 0 | 1 | 0 | 0 | 0 | 0 |
Riemannian Stein Variational Gradient Descent for Bayesian Inference | We develop Riemannian Stein Variational Gradient Descent (RSVGD), a Bayesian
inference method that generalizes Stein Variational Gradient Descent (SVGD) to
Riemann manifold. The benefits are two-folds: (i) for inference tasks in
Euclidean spaces, RSVGD has the advantage over SVGD of utilizing information
geometry, an... | 0 | 0 | 0 | 1 | 0 | 0 |
Suspension-thermal noise in spring-antispring systems for future gravitational-wave detectors | Spring-antispring systems have been investigated as possible low-frequency
seismic isolation in high-precision optical experiments. These systems provide
the possibility to tune the fundamental resonance frequency to, in principle,
arbitrarily low values, and at the same time maintain a compact design of the
isolatio... | 0 | 1 | 0 | 0 | 0 | 0 |
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